Humanoid Robotics: what is getting real adoption now?
In our humanoid robotics market deck, you will find everything you need to understand the market
SUMMARY
Humanoid robotics is getting real adoption now, but the proven market is still concentrated in narrow, repetitive work inside factories, warehouses and a small number of structured retail environments.
The headline shipment boom makes the market look broader than it is. More than 22,000 humanoids shipped in the first half of 2026, yet manufacturing and logistics together represented only about 18% of that volume.
The first real humanoid “killer apps” are awkward handoffs between existing automation systems: moving totes, loading fixtures, feeding production lines, handling parts and doing repeatable inspection work that is still inconvenient to automate with fixed machinery.
The strongest adoption evidence comes from repetition, not spectacle. BMW measured Figure in operating hours and parts handled, GXO measured Digit in tote movements, and Toyota converted a long pilot into a commercial deployment.
China is clearly ahead on production volume and rollout breadth, while Western deployments currently provide some of the cleanest public evidence on sustained industrial operation. Those are different kinds of leadership, and the distinction matters.
Commercialization is also becoming visible in money rather than just pilots. UBTECH is reporting hundreds of millions of yuan in humanoid revenue, while Agility has built a large multi-year RaaS order book around Digit.
Autonomy is good enough for carefully bounded workflows, but the robots still depend on structured environments, trained behaviors and procedures for failures or unusual situations. “General purpose” is still much broader as a hardware ambition than as a description of day-to-day job autonomy.
Safety remains a quiet constraint on the economics. A humanoid is most valuable when it can use human-designed workspaces without a major rebuild, so deployments become less attractive if the robot still needs fencing, separation or heavy process redesign.
Retail is the clearest sign that adoption can spread beyond factories, with Galbot operating across more than 100 instant-retail locations in China. Home robots are much earlier: reservations and factories are real, but a large installed base doing useful household work every day is not public yet.
Today’s adoption leaders are Agility Robotics, Figure, AGIBOT, UBTECH and Galbot because each has a different hard proof point: sustained use, documented production work, shipment scale, revenue or service-sector rollout. Tesla Optimus, Atlas, Apollo and NEO remain important programs, but their public evidence still leans more toward ramp-up and future capacity than scaled end-user work.
This market map, featured in our humanoid robotics market deck, highlights top companies and startups in the humanoid robotics market
Is humanoid robotics actually getting real adoption now?
Humanoid robotics is getting real adoption now, but almost all of it is concentrated in repetitive factory, warehouse and retail tasks rather than anything close to a general human job.
We use a fairly strict definition of adoption here. A robot has to do useful work repeatedly in a real customer environment. Operating hours, tasks completed, paid deployments and expansion after a pilot count heavily. A polished demo, a production target or a reservation tells us much less on its own.
With that standard, the evidence has become much stronger over the past year. Figure's robot accumulated more than 1,250 hours on BMW's Spartanburg production line and handled more than 90,000 parts. Agility Robotics says Digit has accumulated more than 65,000 operating hours across committed customer sites, while its GXO deployment passed 100,000 tote movements. Toyota went through roughly a year of testing before signing a commercial agreement for Digit. In China, AGIBOT has robots running on an actual tablet production line, while UBTECH sold 921 full-size embodied humanoids in the first half of 2026.
That is a long way from robots walking around a conference hall.
At the same time, Counterpoint Research's latest H1 2026 figures put global humanoid shipments above 22,000 units, up almost 300% year over year. Yet more than 60% were still going into entertainment, performances, research and data production. Intelligent manufacturing represented 13% of shipments and warehousing and logistics another 5%.
That puts the productive industrial slice at roughly 4,000 robots during the half, even before asking how many of those are running continuously in customer operations.
So yes, humanoid adoption is real today. The robots getting adopted are mostly doing narrow physical jobs thousands of times instead of behaving like flexible human workers.
If you want more recent data on this point, please see our latest humanoid robotics market report.
Why do 22,000 humanoid robot shipments make adoption look bigger than it is?
Humanoid robot shipment numbers currently make workplace adoption look several times larger than the productive industrial market really is.
Counterpoint counted more than 22,000 humanoid shipments worldwide in the first half of 2026 and expects the full-year figure to pass 50,000. That sounds huge for an industry that was producing robots by the hundreds only a few years ago.
The application mix changes the picture quickly. More than 60% of those first-half shipments still went to entertainment and performance or to research and data production. Service and guidance accounted for about 19%. Manufacturing took 13%, while warehousing and logistics represented 5%.
On a base of slightly more than 22,000 units, manufacturing and logistics together work out to roughly 4,000 robots.
The vendor rankings also explain why shipment volume can be misleading. AGIBOT shipped about 9,700 humanoids in the first half, while Unitree shipped more than 7,000. Together they controlled roughly three-quarters of the global market. Counterpoint says Unitree's G1 remains particularly strong in research and education, while a large part of AGIBOT's smaller X-series business goes into entertainment, services, education and data production.
Those robots are commercially useful products, but buying a G1 for a robotics lab is very different from putting a humanoid into a warehouse for two shifts a day.
Interact Analysis estimates that manufacturers shipped about 550,000 traditional industrial robots in 2025. Even if humanoids exceed 50,000 units this year, the machines doing manufacturing and logistics work will still represent a small fraction of conventional industrial robot volumes.
| Humanoid use case | Share of H1 2026 shipments | What it tells us |
|---|---|---|
| Entertainment, performance, research and data production | More than 60% | Most current volume still sits outside normal productive labor |
| Service and guidance | About 19% | Commercial use is growing, especially in China |
| Intelligent manufacturing | 13% | Factory adoption has become meaningful |
| Warehousing and logistics | 5% | Smaller volume, but some of the best proof of repeated paid work |
As this chart shows, and as featured in our humanoid robotics market deck, search interest in where to buy robots has been rising steadily
Are tote moving and parts handling the first real humanoid robot killer apps?
Tote moving and parts handling currently look like the clearest early killer apps for humanoid robots because customers can measure the work easily and repeat the same physical cycle thousands of times.
We found very little evidence of a humanoid taking over anything resembling a complete factory job. The strongest deployments fill one awkward physical gap inside a workflow that is already heavily automated.
At GXO's Flowery Branch operation, autonomous mobile robots bring totes to Digit, Digit transfers them onto a conveyor, and the warehouse system continues from there. Agility says the deployment has passed 100,000 tote movements.
The bigger clue is what happened after testing. GXO signed a multi-year commercial Robots-as-a-Service agreement. Toyota Motor Manufacturing Canada then spent about a year evaluating Digit before signing its own commercial agreement for seven robots, initially to unload parts totes from automated tuggers.
Figure's BMW deployment follows the same pattern. Figure 02 retrieved sheet-metal components and positioned them inside a welding fixture. Conventional industrial robots handled the welding itself.
UBTECH describes Walker deployments around material handling, sorting, loading, unloading, inspection and work-bin transport. AGIBOT's G2 robots at Longcheer handle production-line material movement and inspection.
Agility's latest SEC materials say Digit has deployment commitments across nine customer facilities and more than 65,000 accumulated operating hours. The company also reports more than $300 million of multi-year orders for the upcoming Digit v5, representing roughly 1,000 robots under three-year RaaS contracts if contractual milestones are reached.
That last number comes from the order book, so it is ahead of the deployed fleet. Still, it shows customers putting real money behind the same narrow type of work.
These jobs suit humanoids because factories and warehouses were already built around human bodies. Aisles, handles, carts, shelves and bins are designed for people, and fixed automation often becomes expensive when only one awkward movement remains manual.
For now, that awkward movement is where humanoids are finding customers.
If you want more recent data on this point, please see our latest humanoid robotics market report.
Are car and electronics factories where humanoid robots are really taking off?
Automotive and electronics factories currently provide some of the strongest evidence that humanoid robots can survive real production work rather than just controlled demos.
BMW gives us the clearest dataset. Figure 02 spent roughly ten months in BMW's Spartanburg plant, worked ten-hour shifts from Monday to Friday, moved more than 90,000 sheet-metal components and accumulated about 1,250 operating hours. Its work contributed to production of more than 30,000 BMW X3 vehicles.
The robot picked three sheet-metal pieces and positioned them in a welding fixture with millimeter-level accuracy. Figure reported a target cycle time of 84 seconds and a placement-success target above 99% per shift.
Toyota has added another real automotive deployment. After roughly a year of testing, Toyota Motor Manufacturing Canada signed a commercial agreement with Agility Robotics for Digit, beginning with manufacturing, supply-chain and logistics work.
China adds much more breadth. Counterpoint says UBTECH's industrial customers are concentrated in automotive and 3C electronics manufacturing, while AGIBOT has G2 robots working with Joyson Electronics and Longcheer Technology.
Longcheer's tablet line is especially useful because AGIBOT livestreamed several days of operation. Across six consecutive days, the company reported more than 64 hours of robot operation, 64,828 production tasks across more than four workflows, a 99.99% task-success rate and contribution to 17,625 units of production output.
Those figures come from AGIBOT itself, so the exact success rate deserves caution. The multi-day operation is still meaningful because it exposes the robots to a live production environment instead of a short staged sequence.
Electronics may become particularly attractive because factories change products and layouts often. A humanoid that can move from inspection to material handling or line feeding without rebuilding an entire robot cell becomes more useful even before it can perform a broad human job.
| Deployment | Job performed | How far it has gone |
|---|---|---|
| Figure 02 at BMW Spartanburg | Picks and positions sheet-metal parts before welding | 90,000+ parts and about 1,250 operating hours |
| Digit at Toyota Canada | Unloads parts totes and supports manufacturing logistics | Commercial agreement after roughly one year of testing |
| AGIBOT G2 at Longcheer | Inspection and production-line handling | 64+ hours and 64,828 reported tasks during six-day live operation |
| UBTECH Walker | Material handling, inspection, loading and related workflows | Hundreds of full-size humanoids sold across industrial customers |
This chart, featured in our humanoid robotics market deck, illustrates yearly venture capital funding for humanoid robotics startups
Is China already winning the humanoid robot race?
China is currently winning the humanoid robot race on production volume and deployment breadth, while the strongest proof of sustained workplace productivity is more mixed.
Counterpoint says AGIBOT shipped about 9,700 humanoids in the first half of 2026, Unitree more than 7,000, Galbot more than 1,100, and UBTECH roughly another thousand. The five largest suppliers in the ranking are Chinese and together account for 86% of global shipments.
AGIBOT has already produced its 15,000th robot. UBTECH's latest interim results show 921 full-size embodied humanoids sold in six months, up from only 45 a year earlier. Galbot has moved beyond individual demonstration stores: a Beijing government update said Galbot G1 robots were working in more than 100 instant-retail warehouses across more than 20 Chinese cities.
China also gives robot companies a huge number of places where robots can be tested: electronics factories, car plants, pharmacies, shopping centers, research institutes, government-backed demonstration zones and data-collection centers.
The scale still needs to be separated from pure commercial ROI. Counterpoint's data shows that entertainment, performances, research and data production still account for most humanoid shipments, and Chinese policy programs actively encourage deployment.
China already dominates the physical production and rollout of humanoids. Whether Chinese companies have also found the best long-term economics for humanoid labor is much less settled.
If you want more recent data on this point, please see our latest humanoid robotics market report.
Are humanoid robot companies making real money yet?
Humanoid robot companies have started generating real commercial revenue, but customer-level ROI is still much harder to prove than vendor sales.
UBTECH provides the cleanest public financial evidence because it is listed in Hong Kong.
In its latest interim results, revenue from full-size embodied humanoid products and services reached RMB590.3 million, around $88 million, during the first half of 2026. That was up 1,445% from RMB38.2 million a year earlier.
The segment represented 46.5% of UBTECH's entire revenue, compared with only 6.1% one year before. UBTECH sold 921 full-size embodied humanoids during the period, versus 45 in the comparable half.
The company still lost RMB338.8 million during the half, so commercial sales have yet to make the whole business profitable.
Agility gives us a different view. Its latest public filings disclose more than $300 million in multi-year Digit v5 orders, most structured as Robots-as-a-Service contracts. Agility's illustrative model assumes an annual RaaS price around $100,000 per robot and compares that with roughly $200,000 of fully burdened annual human labor for the equivalent amount of work.
Those assumptions look attractive on paper. We still lack enough customers publishing their actual cost per task, intervention rate, maintenance cost and realized savings.
GXO running Digit for more than 100,000 tote movements and Toyota converting a year-long pilot into a commercial agreement show that customers see enough value to keep going. They do not tell us the exact payback.
Humanoid robotics now has paying customers and meaningful revenue. The economics across the broader market are still being proven.
This chart, featured in our humanoid robotics market deck, shows how Agility Robotics is capturing share in humanoid robotics
How autonomous are the humanoid robots working today?
Humanoid robots working in real facilities today can already run narrow workflows autonomously, while anything resembling human-level job autonomy remains much further away.
Digit can navigate its work area, pick up totes, carry them and place them onto conveyors without a person steering every movement. Figure 02 repeatedly handled BMW parts during production shifts. AGIBOT's G2 robots have operated for hours inside a live electronics production line.
The boundaries become obvious when the job changes. These deployments usually start with a defined environment, a small number of objects and a carefully chosen workflow. Engineers train the relevant behavior, connect the robot to the facility and build procedures for failures and unusual situations.
Current AI is widening those boundaries. Figure's Helix system allows Figure 03 to react to changes in how parts are positioned instead of relying on one perfectly fixed geometry. AGIBOT is pushing vision-language-action models into factory workflows. Agility mixes learned policies with traditional control, simulation and demonstrations.
Still, none of the public industrial deployments show a humanoid walking into a random factory, watching an employee for a day and independently taking over that person's whole job.
The home market makes the gap even clearer. 1X says NEO will arrive with basic autonomy, while difficult tasks can use Scheduled Expert Mode, where a remote 1X operator supervises the robot's actions.
Today, "general purpose" mainly describes broader hardware and growing task flexibility. Full worker-level autonomy remains ahead.
If you want more recent data on this point, please see our latest humanoid robotics market report.
Can humanoid robots safely work next to people yet?
Humanoid robots can already work inside active factories, but unrestricted shoulder-to-shoulder operation with people remains one of the biggest barriers to wider adoption.
Agility has already obtained safety certification for Digit systems used in industrial environments and accumulated tens of thousands of operating hours. Yet the company's upcoming Digit v5 puts much more emphasis on what Agility calls "cooperative safety": allowing robots to share workspaces with people without depending on physical barriers.
BMW reached a similar conclusion from its Figure 02 project. The robot could perform the production task, but integrating it required close work across occupational safety, production IT, logistics and process management. BMW also used additional separation during parts of the program.
This has a direct effect on economics. One reason companies want a humanoid is that the machine can fit into a workspace already designed for people. If every deployment needs a large fenced-off cell, much of that flexibility disappears.
Humanoids are moving toward shared workspaces, but the industry has not fully solved that problem yet.
This chart, featured in our humanoid robotics market deck, illustrates yearly funding for humanoid robotics startups
Are humanoid robots already useful outside factories and warehouses?
Humanoid robots are already doing useful commercial work outside factories, with Chinese retail giving us the strongest example so far.
Galbot has quietly built one of the more interesting humanoid deployments in the market.
Beijing's Haidian district reported that a Galbot-operated retail warehouse had been working continuously for more than 150 days and had completed tens of thousands of delivery orders. The robots handle tasks such as inventory checking, replenishment, picking, moving products and packing.
A later government update said Galbot G1 robots were working in more than 100 "Galaxy Capsule" instant-retail warehouses across more than 20 cities. Beijing has also approved Galbot for 24-hour pharmacy operations, where the robot can retrieve medicine, manage inventory, replenish stock and pack orders. A Galbot system has also been introduced into a FamilyMart convenience store for regular service.
Shanghai has a smaller version. A nine-square-meter Galbot Shop carries more than 300 products and uses a robot to retrieve goods, interact with customers, handle payments and recharge autonomously. The store was designed for roughly 500 orders per day.
Retail works because the environment can be structured and the same actions repeat constantly. Galbot shows that real humanoid adoption is starting to spread beyond industrial sites.
Are home humanoid robots actually being adopted yet?
Home humanoid robots have attracted real consumer demand, but actual household adoption is still at the starting line.
1X's NEO is the strongest test.
The company says all 10,000 units of its planned first-year production capacity were reserved within five days after preorders opened. NEO currently costs $20,000 for early-access ownership or $499 per month on subscription, with a refundable $200 deposit.
Manufacturing has also become tangible. 1X says its 58,000-square-foot Hayward factory has entered full-scale production, employs more than 200 people and has capacity for about 10,000 NEOs per year. The company wants to raise annual capacity above 100,000 by the end of 2027.
The important detail is where the current robots are going. In its factory update, 1X said early units were being prioritized for internal employees and home testing while customer deliveries were being prepared.
NEO also comes with basic autonomy and can use remote expert supervision for difficult tasks.
Demand and manufacturing are real now. A large installed base of customers using NEO every day has yet to appear publicly, so home humanoids remain behind warehouses and factories on proven adoption.
This chart, featured in our humanoid robotics market deck, compares the main business model options for humanoid robot manufacturers
Are Tesla Optimus, Boston Dynamics Atlas and Apptronik Apollo already working at scale?
Tesla Optimus, Boston Dynamics Atlas and Apptronik Apollo are major humanoid programs, but none currently has the same public operating record as Digit, Figure's BMW deployment or the largest Chinese rollouts.
Tesla's latest quarterly update says the company is installing its first-generation Optimus production line in Fremont. The first robots produced there are expected to go into an "Optimus Academy" for training-data collection and further development.
Boston Dynamics is further along toward industrial customers. Production versions of Atlas are now being manufactured, and the company's 2026 deployment slots are committed to Hyundai and Google DeepMind.
Hyundai's own roadmap says Atlas is expected to begin production work such as parts sequencing at Hyundai Motor Group Metaplant America from 2028, followed by more complicated assembly tasks around 2030. Current Atlas units are therefore part of the transition into deployment, with scaled factory work still ahead.
Apptronik has tested Apollo with companies including Mercedes-Benz and Jabil, and Jabil is also manufacturing the robot. Its newer Robot Park program uses fleets of Apollo 2 robots at dedicated sites and customer locations to gather real-world training data.
All three could move quickly. For now, their future production capacity and major customer names are ahead of their publicly documented operating hours and completed tasks.
Which humanoid robot companies are actually ahead on adoption today?
Agility Robotics, Figure, AGIBOT, UBTECH and Galbot currently have the strongest evidence of real humanoid adoption, although each company leads on a different type of proof.
Agility has the cleanest case for sustained Western commercial deployment. Digit has real enterprise customers, more than 65,000 operating hours across committed facilities, over 100,000 tote movements at GXO and a Toyota contract that followed a long pilot.
Figure has one of the best documented individual factory deployments. BMW independently confirms more than 90,000 parts handled, around 1,250 operating hours and work contributing to more than 30,000 X3 vehicles. As seen above, Figure 02 has since been retired, so Figure 03 still needs to build its own comparable operating record.
AGIBOT wins on sheer scale. It shipped roughly 9,700 humanoids in the first half of the year and has now produced more than 15,000 robots overall. Its Longcheer factory deployment adds useful evidence that part of that volume is becoming productive industrial work.
UBTECH offers the strongest financial proof. Selling 921 full-size embodied humanoids and generating RMB590.3 million from the category in six months goes well beyond a large pipeline announcement.
Galbot stands out because its adoption is happening in retail. Tens of thousands of orders and more than 100 instant-retail locations give it one of the few visible service-sector footprints.
Unitree deserves a separate mention. More than 7,000 humanoids shipped in six months makes it one of the world's largest suppliers, but research and education still drive a large share of G1 demand.
| Company | Best evidence of real adoption now | Our current read |
|---|---|---|
| Agility Robotics / Digit | 65,000+ operating hours, 100,000+ GXO tote movements, commercial Toyota deployment | Strongest evidence of sustained paid industrial use |
| Figure / Figure 02 and 03 | 90,000+ BMW parts and about 1,250 production hours with Figure 02 | Strong factory proof; Figure 03 now has to repeat it |
| AGIBOT / G2 | About 9,700 H1 shipments and multi-day live factory operation at Longcheer | Biggest scale with increasingly credible industrial use |
| UBTECH / Walker | 921 full-size units sold and RMB590.3M in six-month humanoid revenue | Strongest public financial commercialization evidence |
| Galbot | Tens of thousands of retail orders and 100+ instant-retail locations reported | Clearest service and retail adoption |
| Unitree / G1 | More than 7,000 H1 humanoid shipments | Huge real market, still heavily research and education driven |
| Boston Dynamics / Atlas | Production robots going to Hyundai and DeepMind | Serious deployment phase, productive scale comes later |
| Apptronik / Apollo | Industrial pilots, customer-site data collection and Jabil manufacturing | Strong pre-scale program |
| Tesla / Optimus | First production line being installed; early units aimed at internal training | Massive potential, very little external adoption yet |
| 1X / NEO | 10,000 first-year production slots reserved and factory ramp underway | Consumer demand proven before household usage is proven |
If you want more recent data on this point, please see our latest humanoid robotics market report.
This chart, featured in our humanoid robotics market deck, shows the revenue mix across customer segments in the humanoid robotics market
So what is actually getting real adoption in humanoid robotics now?
Humanoid robotics has crossed into real adoption, and the winning use cases today are material handling, tote movement, parts loading, production-line feeding, sorting, inspection and a small but growing group of tightly structured retail jobs.
The evidence is now substantial enough to separate those applications from the industry's broader promises. BMW measured Figure in thousands of operating hours and tens of thousands of parts. GXO measured Digit in more than 100,000 tote movements. Toyota turned a long pilot into a commercial contract. AGIBOT has shown multiple robots operating for days on a live electronics line. UBTECH is reporting humanoid revenue in the hundreds of millions of yuan. Galbot has robots completing ordinary retail orders across dozens of cities.
Counterpoint's newest numbers keep the scale in perspective. More than 22,000 humanoids shipped during the first half of the year, yet manufacturing and warehousing together represented only 18% of those units. Most current volume still comes from research, data collection, entertainment and other earlier-stage uses.
The jobs being automated are also very specific: pick up this tote, move this component, load this fixture, inspect this tablet, retrieve this product, then repeat the task hundreds or thousands of times.
That is already useful enough to create paying customers.
Broader adoption now depends on whether the same machine can handle several workflows with less engineering, while becoming safer around people and requiring fewer human interventions.
Home humanoids and broad human-job replacement remain much further away from proven adoption. Tesla Optimus, Atlas, Apollo and NEO may eventually produce larger markets, but current deployment data does not put them in the same category yet.
Humanoid robots are already becoming useful where a factory, warehouse or store has a boring physical task that existing automation handles badly. That foothold is real, paid and expanding.
OUR METHODOLOGY
This analysis asks what is actually getting real adoption in humanoid robotics today. We use a strict definition of adoption: useful work repeated in a real customer environment, with operating hours, completed tasks, paid deployments, customer expansion and commercial revenue carrying more weight than demos, reservations, production targets or announced partnerships.
We break adoption into several dimensions because no single headline number can describe the market properly. Shipment data shows scale, operating records show whether robots can sustain useful work, commercial agreements show whether customers continue after testing, financial disclosures show whether deployments are turning into meaningful business, and autonomy and safety evidence helps show how easy those deployments may be to replicate.
We kept current deployment evidence separate from future potential. Production capacity, reservations, announced customers and technical demonstrations can still be useful, but the analysis gives more weight to robots already working in factories, warehouses, retail sites and customer facilities.
For company comparisons, we looked for several different kinds of proof rather than forcing every company into one ranking metric. Agility is strongest on sustained paid industrial use, Figure on a well-documented factory deployment, AGIBOT on scale, UBTECH on public financial commercialization, and Galbot on service-sector rollout.
Key sources used for this analysis include Counterpoint Research on global humanoid shipments and application mix, BMW Group on Figure's production work, Figure on the BMW deployment, Agility Robotics on Digit's 100,000+ GXO tote movements, Agility Robotics on the GXO multi-year RaaS agreement, Agility Robotics on Toyota's commercial Digit agreement, and Agility's SEC materials on operating hours, customer commitments and Digit v5 orders.
We also used AGIBOT's Longcheer production-line data, AGIBOT's 15,000th-robot production milestone, UBTECH's Hong Kong interim filing, Beijing government reporting on Galbot's retail operation, Beijing government reporting on Galbot's 100+ instant-retail locations, 1X on NEO pricing and autonomy, 1X on NEO manufacturing capacity, Tesla's investor disclosure on Optimus production, Boston Dynamics on production Atlas, Hyundai on the Atlas deployment roadmap, Apptronik on Apollo Robot Park, Jabil on Apollo manufacturing and deployment, and Interact Analysis for the conventional industrial-robot shipment benchmark.
The final conclusions come from the combined weight of those different forms of evidence. That lets us distinguish robots that are genuinely doing paid, repeated work now from programs that may be technically impressive or commercially promising but are still earlier in deployment.
This chart, featured in our humanoid robotics market deck, shows how factory humanoid robot technology has evolved over time
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